基于遗传神经网络的产品价格预测方法

The Application of the Genetic Neural Network Method to Forecasting Product Prices

应用遗传神经网络方法,建立了工业产品预测的神经网络预测模型,并运用遗传算法对建立的神经网络模型的结构和推理参数进行优化,使预测结果更加准确,为工业项目的投资评估提供了一种更为合理的预测方法.

Forecasting product prices is the key to the evaluation of industrial project investment. Based on the Genetic Neural Network method, the Genetic Neural Network model for forecasting industrial product prices is established. And based on Genetic Algorithm, the network structure and reasoning parameters of the model are optimized to make forecasting results more exact. The paper provides a more reasonable method for the evaluation of industrial project investment.